Package index
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split_stratified_ancestry_sets()
- Split Expression and Metadata into Train, Test, and Inference Sets
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perm_interaction_effect()
- Simple Permutation-Based Interaction Test (No Bootstrapping, No Convergence)
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limma_interaction_effect()
- Limma-Based Interaction Test
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perm_correlation_difference()
- Simple Permutation Test for Correlation Differences
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perm_prediction_difference()
- Permutation Test for Prediction Performance Differences
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param_gls_summary()
- Parametric GLS Feature Summary Across Iterations
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RP_aggregation()
- Aggregate gene statistics using Rank Product
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plot_feature()
- Plot feature distributions across two splits
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plot_stratified_sets()
- Plot Sample Counts by Stratified Variable and Dataset Split
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plot_stratified_feature()
- Plot stratified feature distributions across splits
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plot_null_distribution()
- Plot permutation-based T-statistics with observed values and p-values
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plot_pvalue_distribution()
- Plot P-value Distribution Colored by a Binned Fill Variable
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plot_correlation_heatmap()
- ComplexHeatmap of Correlation Matrix Across Iterations
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plot_jaccard_heatmap()
- Plot Jaccard Heatmap of Sample Reuse Across Iterations
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plot_correlation_difference()
- Plot correlation differences with optional facets
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plot_volcano()
- Volcano Plot
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plot_pvalue_concordance()
- Plot concordance of -log10 p-values between two methods
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track_sample_ids()
- Track Sample Roles and IDs from a Split
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compute_jaccard_matrix()
- Compute Jaccard Similarity Matrix Between Iterations
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compute_correlation_matrix()
- Compute Correlation Matrix from Long-format Data
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inject_DEG_signal()
- Inject Simulated DEGs and Interaction Effects into NB Counts
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plot_simulated_features()
- Plot Simulated Features by Ancestry and Group (base R + data.table)
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simulate_NB_counts()
- Simulate Negative Binomial RNA-seq Counts from Real Data
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boot_interaction_effect()
- Simple Bootstrap-Based Interaction Estimation with CI Level Control
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boot_correlation_diff()
- Bootstrap-Based Correlation Difference Test (Unstratified)